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BLUElink Update Andreas Schiller CSIRO Marine and Atmospheric Research Hobart, Australia N. R. Smith BMRC Melbourne, Australia
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Project “BLUElink” A partnership between: CSIRO Australian Bureau of Meteorology (BoM) Royal Australian Navy (RAN)
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Australia! (Nature cover)
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High-level objectives of BLUElink To develop an ocean forecasting capability in the Bureau of Meteorology To enable the RAN to forecast local ocean and atmospheric conditions
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Key elements “Real-time” data availability (“nowcasts”) Archived ocean hindcasts, based on global modelling Ocean forecasts, based on global model Automated model nesting
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SSH Anomaly & Geostrophic Velocity SST Anomaly & Geostrophic Velocity SST & Geostrophic Velocity Ocean Nowcasting A daily-updated nowcast of the 3-d temperature, salinity and current fields for the Asian-Australian region based on in situ (Argo and XBT) and satellite (altimeter, SST) data
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The Global Model Ocean Forecasting Australia Model Based on MOM4 Provides an archive (1992 on) and operational 3-10 day forecasts See http://www.marine.csiro.au/bluelink/exproducts/index.htm
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Model Summary OFAM: Ocean Forecasting Australia Model Global model with eddy resolving resolution in Asian- Australian region MOM4 (GFDL) - Z coord./Free Surface - Hybrid Chen mixed-layer model - Quicker Advection Scheme - Smagorinsky viscosity parameter. (anisotropic) - isopycnal mixing and GM param.(anisotropic) - No ice model (later) - No river runoff (later) Eddy-resolving (1/10°) -10-11km from 75ºS to 16°N, 90ºE to 180ºE -47 levels (35 in top 1000m) - Relaxation to CARS and Levitus WOA (T,S) below 2000m (250 days) -6-hourly ECMWF (ERA-40 and/or operational fields) - Plus relaxation to SST and SSS BODAS: Bluelink Ocean Data Assimilation System - Ensemble Optimal Interpolation - 11 days data window in RA mode - Along-track SLA (T/P, ERS, GFO, Jason-1, Envisat) - Sea-level anomaly from all Australian coastal tide gauges - Assimilation of SST (AMSR-E, ATSR,AVHRR) - CTD and bottle profiles from ARGO, WOCE, TAO, and other regional experiments - XBT profiles from WOCE & IOTA - MSSH from data (diagnostic model run with strong nudging towards Levitus WOA)
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BODAS: An Ensemble-based Optimal Interpolation System
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Surface Eddy Kinetic Energy: January Altimetry Model
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% EKE of Total Kinetic Energy JanuaryJuly
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Surface Transports 0-100m & Mean Kinetic Energy: JulyJanuary Integrated Transports in 1º x 1º bins10 Sv
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Intraseasonal Kelvin The great 97/98 El Niño Courtesy A.L. Gordon Makassar Strait Moorings Courtesy A.L. Gordon
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Top-Bottom Volume Transports (1992-2001) South China Sea:-1.7 ± 3.3 Sv Makassar Strait:-8.3 ± 4.5 Sv Maluku Sea: +3.5 ± 5.8 Sv Halmahera:-4.2 ± 5.5 Sv Torres Strait: -1.0 ± 1.2 Sv Timor Sea: -6.7 ± 4.2 Sv Ombai Strait: -2.1 ± 2.1Sv Lombok Strait:-3.0 ± 2.2 Sv Sunda Strait:-0.5 ± 0.45 Sv Malakka Strait:+0.3 ± 0.3 Total ITF (Indian Ocean)-12.9 ± 6.1Sv
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(Ffield et al., 2000) ObservationsReanalysis Makassar Strait: Temperature Section 1997/1998
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Reanalysis XBT Section PX34: Geostrophic (0-2000db) & Ekman Transports Observations Reanalysis (3-monthly filtered) Reanalysis (weekly ave.) TOTAL Transport
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Limited Area Modelling – tropical cyclones Improved tropical cyclone forecasts based on coupled atmosphere-wave-ocean modelling
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ROAM Relocatable Ocean- Atmosphere Model 3-10 day model prediction of ocean and atmospheric structure High resolution (~2 km), limited area (~100x100 km 2 ) Robust - to be run by non-experts in the Navy Controlled from a graphical interface Automatically nested inside operational global forecasts Output fed to sonar and radar models
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ROAM Relocatable Ocean- Atmosphere Model Domain selection via a graphical interface
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Relocatable Ocean Atmosphere Model (ROAM): GUI
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ROAMing – testing for robustness Next slide Examples of test domains
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ROAMing – testing for accuracy Comparison of automated vs optimised model: * SS height, * currents during TC Bobby (atmos pressure contours in white, coloured dots are data locations) ROAMOptimised model
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ROAM: testing for accuracy 40 m below surface 90 m below surface (water depth 300 m) data model Temperature Feb 1995 TC Bobby
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Components of the Ocean Model Analysis and Prediction System (OceanMAPS)
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Phase 1: InfrastructureJun05-Dec05 Analysis cycle (Jun-Sep) IT Software, Resource plan (Jun-Sep) Implementation workshop (Sep/Oct) Implementation Plan (Oct) Forecast cycle (Oct-Dec) Phase 2: Tuning Jan06-Jun06 Robust configuration Hindcast trials QC real-time observations Analysis and Forecast GASP SX6 operation configuration Scheduling Extended configuration Phase 3: Monitoring Jun06-Dec06 Static configuration Transition to operational infrastructure Routine diagnostics Validation/skill assessment Documentation Transition to NMOC Global System: OceanMAPS Operational Implementation
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Summary: BLUElink Integrated reanalyses of the ocean state over the last 13 Integrated reanalyses of the ocean state over the last 13 years. Public access now available for registered users: years. Public access now available for registered users: http://www.cmar.csiro.au/bluelink/ Global Operational Outputs and Regional (shelf-scale) Global Operational Outputs and Regional (shelf-scale) Relocatable Nested System (all available by 2006/07): Relocatable Nested System (all available by 2006/07): 7-28 days forecasts (global, BoM), 3+ days (regional, RAN), Prognostic variables: SSH; 3-D ocean temperature, salinity and currents salinity and currents
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BLUElink II (2006-2010): BLUElink II (2006-2010): Higher resolution models and improved physics: global coastal littoral zone river discharge, tidal focing river discharge, tidal focing Improved global analysis and prediction system (towards Improved global analysis and prediction system (towards Ensemble Kalman Filter): Ensemble Kalman Filter): full SST assimilation improved anomalies, error statistics Downscaling: relocatable, fully coupled regional ocean- Downscaling: relocatable, fully coupled regional ocean- atmosphere model with limited DA capability atmosphere model with limited DA capability (1/8)º min (1/16)º
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Sustainability of Satellites QuikSCAT Microwave SST ? Altimetry Ocean color
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